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Events Calendar



SUNMONTUEWEDTHUFRISAT

Events for May

  • Center for Engineering Diversity Industry Advisory Board Meeting

    Fri, May 01, 2015 @ 09:30 AM - 02:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Quarterly meeting of Center for Engineering Diversity industry partners.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Industry Advisory Board members

    Posted By: Center for Engineering Diversity

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  • AI Seminar-Centralities, Communities and Dynamics: The Generalized Laplacian Framework

    Fri, May 01, 2015 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Xiaoran Yan , USC/ISI

    Talk Title: Centralities, Communities and Dynamics: The Generalized Laplacian Framework

    Series: Artificial Intelligence Seminar

    Abstract: The interplay between a dynamic process and topology of a network on which it unfolds affects observed network structure. In this talk, we examine the impact of this the interaction on the identification of central nodes and communities in networks. We introduce the generalized Laplacian framework which extends the traditional Laplacian beyond simple diffusion. By mathematically relating dynamic processes to random walks on a transformed network, the generalized Laplacian formulation unifies different measures of centrality and community quality. Thus, a node's centrality describes its participation in the dynamics taking place on the network, and communities are groups of nodes that interact more frequently with each other according to the rules of the dynamic process. We prove that the classic Cheeger's inequality, which relates the spectrum of the Laplacian matrix to the conductance of the best cluster in the network, can be extended to this generalized setting, providing a method for fast graph partitioning under any dynamics. We demonstrate empirically that different dynamic processes lead to divergent views of structure of synthetic and real-world networks.






    Biography: Xiaoran Yan is a Postdoctoral Research Associate at Kristina Lerman's group at ISI-USC. His work focuses on modelling and analyzing dynamics on networks as well as the underlying topological structures. He received a Ph.D. in Computer Science at University of New Mexico.

    Host: Kristina Lerman

    Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=9e22bdf6c8be40a3a5f7abdb6c3fef251

    Location: Information Science Institute (ISI) - 11th Flr. Conf Rm # 1135, Marina Del Rey

    WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=9e22bdf6c8be40a3a5f7abdb6c3fef251d

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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  • Center for Engineering Diversity Faculty Advisory Board Meeting

    Fri, May 01, 2015 @ 12:00 PM - 01:30 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Quarterly meeting of Viterbi faculty members who provide guidance and support to The Center for Engineering Diversity.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Faculty Advisory Board Members

    Posted By: Center for Engineering Diversity

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  • CS Colloquium: Ari Shapiro (ICT) - Models of Motion, Movement and Interaction for Digital Characters

    Fri, May 01, 2015 @ 01:00 PM - 02:20 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Ari Shapiro, USC Institute for Creative Technologies

    Talk Title: Models of Motion, Movement and Interaction for Digital Characters

    Series: CS Colloquium

    Abstract: Research in animation has progressed where capture technologies have allowed recording and playback of human motion. For example, a human face can be recorded speaking an utterance, then accurately modeled in 3D. However, making the 3D face produce an utterance that has not previously been recorded requires an understanding of how the face reacts to the speech that is generated, how the head and neck must move to accommodate that sound as well as that expression, and how the other parts of the face and eyes act during the speech. Similarly, motion capture techniques allow the capture and replication of human walking or running as performed by the original actor, but arbitrary movement through uneven terrain with obstacles cannot be synthesized accurately, since the complexity of the human balance and structure is not accurately modeled using only kinematic points in space over time.

    Thus, while motion replication into a 3D environment is fairly well understood across a number of areas, the fundamental question of how to synthesize movement through a controllable model of humans remains elusive. The human body is extremely complex, and models of movement for high energy activities such as running differ greatly from other complex phenomena such as talking or gesturing. Thus, while it is possible to replicate a recorded motion, generating a controllable model of movement for a virtual human remains an open research problem for many different areas, ranging from facial expression to speech to gross movement. In addition, the motivations for human movement and motion are often driven by cognitive functions, so a better understanding of human movement requires a similar understanding of the cognitive aspects that motivate it.

    In this talk, I will describe my research in generating various controllable models of motion and movement for animated 3D characters. My objective is to better understand how people physically move, interact and respond to people and objects in their environment By better understanding how people move about and the motivations for doing so, we can create models of human movement and behavior that can be controlled within a virtual or digital space, thus enabling convincing virtual characters that can be used for various types of training and simulation. The embodiment of movement and behavior of a person into a controllable, digital model allows for the creation of complicated scenarios that can be effective substitutes and training environments for real-world experiences.

    The lecture will be available to stream HERE. (Right Click, New Tab for optimal results.)

    Biography: Ari Shapiro currently works as a Research Scientist at the USC Institute for Creative Technologies, where his focus is on synthesizing realistic animation for virtual characters as lead of the Character Animation and Simulation research group. Shapiro has published many academic articles in the field of computer graphics and animation for virtual characters, and is a seven-time SIGGRAPH speaker.
    For several years, he worked on character animation tools and algorithms in the research and development departments of visual effects and video games companies such as Industrial Light and Magic, LucasArts and Rhythm and Hues Studios. He has worked on many feature-length films, and holds film credits in The Incredible Hulk and Alvin and the Chipmunks 2. In addition, he holds video games credits in the Star Wars: The Force Unleashed series.
    He completed his Ph.D. in computer science at UCLA in 2007 in the field of computer graphics with a dissertation on character animation using motion capture, physics and machine learning. He also holds an M.S. in computer science from UCLA, and a B.A. in computer science from the University of California, Santa Cruz.


    Host: CS Department

    Webcast: https://bluejeans.com/57723254

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 108

    WebCast Link: https://bluejeans.com/577232541

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Senior Design Expo

    Fri, May 01, 2015 @ 02:00 PM - 04:30 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Viterbi seniors will be presenting their capstone course projects to a judging panel of faculty, staff, and industry partners, with winners receiving cash prizes. Freshmen, sophomores, and juniors can learn what types of projects they will work on and vote for their favorite, as well as see how their current classes can be applied to future engineering projects.

    More information: bit.ly/seniordesignexpo

    Location: Epstein Family Engineering Plaza (Engineering Quad)

    Audiences: Everyone Is Invited

    Posted By: Christine D'Arcy

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  • PhD Defense - Matthew Brown

    Fri, May 01, 2015 @ 02:30 PM - 04:30 PM

    Computer Science

    University Calendar


    PhD Candidate: Matthew Brown

    Committee:
    Milind Tambe (Chair)
    Jonathan Gratch
    Ewa Deelman
    Richard John
    Dale Kiefer


    Title: Balancing Tradeoffs in Security Games: Handling Defenders and Adversaries with Multiple Objectives


    Abstract:
    Stackelberg security games (SSG) have received a significant amount of attention in the literature for modeling the strategic interactions between a defender and an adversary, in which the defender has a limited amount of security resources to protect a set of targets from a potential attack by the adversary. SSGs are at the heart of several significant decision-support applications deployed in real world security domains. All of these applications rely on standard assumptions made in SSGs, including that the defender and the adversary each have a single objective which is to maximize their expected utility. Given the successes and real world impact of previous SSG research, there is a natural desire to push towards increasingly complex security domains, leading to a point where considering only a single objective is no longer appropriate.

    My thesis focuses on incorporating multiple objectives into SSGs. With multiple conflicting objectives for either the defender or adversary, there is no one solution which maximizes all objectives simultaneously and tradeoffs between the objectives must be made. Thus, my thesis provides two main contributions by addressing the research challenges raised by considering SSGs with (1) multiple defender objectives and (2) multiple adversary objectives. These contributions consist of approaches for modeling, calculating, and analyzing the tradeoffs between objectives in a variety of different settings. First, I consider multiple defender objectives resulting from diverse adversary threats where protecting against each type of threat is treated as a separate objective for the defender. Second, I investigate the defender's need to balance between the exploitation of collected data and the exploration of alternative strategies in patrolling domains. Third, I explore the necessary tradeoff between the efficacy and the efficiency of the defender's strategy in screening domains. Forth, I examine multiple adversary objectives for heterogeneous populations of boundedly rational adversaries that no longer strictly maximize expected utility.

    The contributions of my thesis provide the novel game models and algorithmic techniques required to incorporate multiple objectives into SSGs. My research advances the state of the art in SSGs and opens up the model to new types of security domains that could not have been handled previously. As a result, I developed two applications for real world security domains that either have been or will be tested and evaluated in the field.

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • Astani Civil and Environmental Engineering Ph.D. Seminar

    Fri, May 01, 2015 @ 03:00 PM - 04:00 PM

    Sonny Astani Department of Civil and Environmental Engineering

    Conferences, Lectures, & Seminars


    Speaker: Mahsa Moslehi and Charanraj Thimmisetty, Astani CEE Ph.D. Candidates

    Talk Title: TBA

    Abstract: TBA

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Posted By: Evangeline Reyes

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  • 27th Annual Center for Engineering Diversity Banquet

    Fri, May 01, 2015 @ 05:30 PM - 08:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Annual celebration of graduating students and the accomplishments of The Minority Engineering Graduate Association, The National Society of Black Engineers, Queers in Engineering, Science and Technology, The Society of Hispanic Professional Engineers, and The Society of Women Engineers.

    RSVP required.

    Location: Ronald Tutor Campus Center (TCC) - Ballroom A

    Audiences: Center for Engineering Diversity students

    Posted By: Center for Engineering Diversity

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  • CS Colloquium: Wei Cheng (UCLA) - Integrating Multiple Networks for Big Data Analysis

    Tue, May 05, 2015 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Wei Cheng, UCLA

    Talk Title: Integrating Multiple Networks for Big Data Analysis

    Series: CS Colloquium

    Abstract: In many big data applications, data with complex structures can usually be modeled as network data. Usually, for one data mining problem, we have multiple networks. For one thing, data about the same object can be obtained from various. For another, the different objects may have complex structures and can be interrelated in a complex way. Integration of different network data is valuable for reaching a more accurate decision and discovering novel patterns. The task is challenging because of the inherent characteristics of the networks: 1) variety (e.g., complex structures, heterogeneous types and data sources); and 2) poor quality; 3) massive volume. In this talk, I will present our research efforts to use big data technologies to integrate multiple networks for both supervised and unsupervised data mining problems. First, I will begin by presenting the work of integrative analyzing multi-domain heterogeneous data for graph clustering. Next, I will present the work on robust sparse regression algorithm that integrates multi-source heterogeneous networks.

    Biography: Wei Cheng is a Ph.D. candidate in Computer Science at University of North Carolina at Chapel Hill. He has been visiting Department of Computer Science of UCLA since 2013. He received a Master's and Bachelor's degree from Tsinghua University and Nanjing University, in 2010 and 2006, respectively. His research interests include big data, data mining, bioinformatics, computational biology, and machine learning. He is especially interested in scalable data analysis problems for data science with an emphasis on biological applications Previously, he also conducted research at Microsoft Research and IBM Research as an intern.

    Host: Yan Liu

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Computer Science Faculty Meeting

    Tue, May 05, 2015 @ 12:00 PM - 02:00 PM

    Computer Science

    Workshops & Infosessions


    Event details will be emailed to invited attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

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  • EE Pioneer Series - Jerry M. Mendel

    Tue, May 05, 2015 @ 02:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jerry Mendel, Professor of Electrical Engineering

    Talk Title: Ode to Joy of Research

    Series: Pioneer Series

    Abstract: To me Research is synonymous with Exploration, traveling into the great unknown and hopefully discovering something that no one else has seen before. Just as Explorers must ask critical questions, many of which are open-ended, in what we call “Research” it’s important, arguably crucially important, to focus on asking the right questions. In this short talk I’m going to focus on some of the questions that I’ve asked or that my students have asked so you get a very good sense of what I mean, beginning with my days as a graduate student, continuing with my years in industry and concluding with my more than 40 years at USC. I have been very fortunate to have experienced the joy of research for more than 50 years, and will also highlight especially joyous moments.

    Biography: Jerry M. Mendel received the Ph.D. degree in electrical engineering from the Polytechnic Institute of Brooklyn, Brooklyn, NY. Currently he is Professor of Electrical Engineering at USC, where he has been since 1974. He has published over 550 technical papers and is author and/or co-author of 12 books. His present research interests include: type-2 fuzzy logic systems and their applications to a wide range of problems, including smart oil field technology, computing with words, and fuzzy set qualitative comparative analysis. He is a Life Fellow of the IEEE, a Distinguished Member of the IEEE Control Systems Society, and a Fellow of the International Fuzzy Systems Association. He was President of the IEEE Control Systems Society in 1986. He was a member of the Administrative Committee of the IEEE Computational Intelligence Society for nine years, and was Chairman of its Fuzzy Systems Technical Committee and the Computing With Words Task Force of that TC. Among his awards are the 1983 Best Transactions Paper Award of the IEEE Geoscience and Remote Sensing Society, the 1992 Signal Processing Society Paper Award, the 2002 and 2014 Transactions on Fuzzy Systems Outstanding Paper Awards, a 1984 IEEE Centennial Medal, an IEEE Third Millenium Medal, and a Fuzzy Systems Pioneer Award (2008) from the IEEE Computational Intelligence Society.

    Host: Ming Hsieh Institute

    More Info: http://mhi.usc.edu/about/news/2015/04/20/ee-pioneer-series-jerry-m-mendel/

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Elise Herrera-Green

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  • CS Colloquium: Kate Saenko (University of Massachusetts Lowell) - From Video to Sentences: A Deep Learning Approach

    Wed, May 06, 2015 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Kate Saenko , University of Massachusetts Lowell

    Talk Title: From Video to Sentences: A Deep Learning Approach

    Series: CS Colloquium

    Abstract: I will describe several recent advances in automatic generation of natural language descriptions for video. Video description has important applications in human-robot interaction, video indexing, and describing movies for the blind. Real-world videos often have complex dynamics, but current methods are insensitive to temporal structure and do not allow both input (sequence of frames) and output (sequence of words) of variable length. I will describe a novel sequence-to-sequence neural network that learns to generate captions for brief videos. The model is trained on video-sentence pairs and is naturally able to learn the temporal structure of the sequence of frames as well as the sequence model of the generated sentences, i.e. a language model. To further handle the ambiguity over multiple objects and locations, the model incorporates convolutional networks with Multiple Instance Learning (MIL) to consider objects in different positions and at different scales simultaneously. The multi-scale multi-instance convolutional network is integrated with a sequence-to-sequence recurrent neural network to generate sentence descriptions based on the visual representation. This architecture is the first end-to-end trainable deep neural network that is capable of multi-scale region processing for video description. I will show results of captioning YouTube videos and Hollywood movies.

    Biography: Kate Saenko is an Assistant Professor of Computer Science at the University of Massachusetts Lowell. She received her PhD from MIT, followed by postdoctoral work at UC Berkeley and Harvard. Her research spans the areas of computer vision, machine learning, speech recognition, and human-robot interfaces. Dr Saenko's current research interests include domain adaptation for object recognition and joint modeling of language and vision. She is involved in a large multi-institution NSF-sponsored project, conducting research in statistical scene understanding and physics-based visual reasoning. She is also a recipient of an NSF EAGER award to analyse domain invariance of deep learning models. Previously, she was involved in DARPA's Mind's Eye project, developing methods for recognizing and describing human activities in video.

    Host: Fei Sha

    Location: Grace Ford Salvatori Hall Of Letters, Arts & Sciences (GFS) - 222

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • WIE PhD Student Coffee Social

    Thu, May 07, 2015 @ 03:00 PM - 04:00 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Women in Engineering would like to invite you to a monthly coffee hour for our PhD women. Coffee, tea, and cookies will be provided. This is a great a time for you to get to know fellow PhD women in Viterbi. Stop by to hang out with your fellow women engineers, take a break from work, and form some new friendships.

    RSVP (optional) here.

    We look forward to seeing you there!

    Location: Robert Glen Rapp Engineering Research Building (RRB) - 208

    Audiences: Graduate

    Posted By: Women in Engineering

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  • Learning Longer Memory in Recurrent Networks

    Tue, May 12, 2015 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Tomas Mikolov , Research Scientist at Facebook AI Reseach

    Talk Title: Learning Longer Memory in Recurrent Networks

    Series: AISeminar

    Abstract: Recurrent neural network is a powerful model that learns temporal patterns in sequential data. For a long time, it was believed that recurrent networks are difficult to train using simple optimizers, such as stochastic gradient descent, due to the so-called vanishing gradient problem. In this talk, I will show that learning longer term patterns in real data, such as in natural language, is perfectly possible using gradient descent. This is achieved by using a slight structural modification of the simple recurrent neural network architecture. Some of the hidden units are encouraged to change their state slowly by constraining part of the recurrent weight matrix to be close to identity, thus forming kind of a longer term memory. We evaluate our model in language modeling experiments, where we obtain similar performance to the much more complex Long Short Term Memory (LSTM) networks. This is a joint work with Armand Joulin, Sumit Chopra, Michael Mathieu and Marc'Aurelio Ranzato.

    Biography: Tomas Mikolov is a research scientist at Facebook AI Research. His work includes introduction of recurrent neural networks to statistical language modeling (published as open-source RNNLM toolkit), and an efficient algorithm for estimating word representations in continuous space (the Word2vec project). His current interest is in developing techniques and datasets that would help to advance research towards artificial intelligence systems capable of natural communication with people.

    Website: https://research.facebook.com/researchers/643234929129233/tomas-mikolov/


    Host: Ashish Vaswani

    Webcast: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=19140806ae5e4116ab2644b1c1d86bbe1

    Location: Information Science Institute (ISI) - 1135

    WebCast Link: http://webcasterms1.isi.edu/mediasite/Viewer/?peid=19140806ae5e4116ab2644b1c1d86bbe1d

    Audiences: Everyone Is Invited

    Posted By: Alma Nava / Information Sciences Institute

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  • Teamcore Seminar: Dr. William Haskell (National University of Singapore) - Approximate Dynamic Programming

    Wed, May 13, 2015 @ 10:30 AM - 11:30 AM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. William Haskell, National University of Singapore

    Talk Title: Approximate Dynamic Programming

    Series: Teamcore Seminar

    Abstract: We develop a new technique for analyzing the convergence of stochastic algorithms. This technique is based on the notion of stochastic dominance and allows us to get sample complexity results. We apply this technique to study the convergence of several approximate dynamic programming algorithms for MDPs on continuous state spaces, as well as to propose some new algorithms.

    Biography: Dr. William Haskell is an assistant professor in the department of the industrial & systems engineering at National University of Singapore. He obtained a PhD from the department of industrial engineering and operation research from UC Berkeley. He was a visiting scholar at USC ISE department from August 2011 to May 2013 and then a Postdoctoral Research Associate from June 2011 to May 2014 at the USC EE and CS department. His research has focused on risk-aware decision making, sequential and large-scale optimization and data-driven decision making.

    Host: Teamcore Research Group

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Viterbi School of Engineering Ph.D. Hooding and Awards Ceremony

    Thu, May 14, 2015 @ 09:00 AM - 12:00 PM

    Viterbi School of Engineering Doctoral Programs

    Receptions & Special Events


    Viterbi Ph.D. students, faculty and staff are invited to attend the third annual Viterbi Ph.D. Hooding and Awards Ceremony in the morning of Thursday, May 14, 2015. A reception will immediately follow in Associates Park.

    Congratulations to our graduates!

    Location: George Finley Bovard Administration Building & Kenneth Norris Jr. Auditorium (ADM) - Bovard Auditorium

    Audiences: Everyone Is Invited

    Posted By: Jennifer Gerson

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  • Repeating EventShort Course: Six Sigma Green Belt for Process Improvement

    Tue, May 19, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis. This program is offered both in the classroom and online.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Artificial vs AuthenticThe Art of Language Invention

    Tue, May 19, 2015 @ 03:00 PM - 04:00 PM

    Conferences, Lectures, & Seminars


    Speaker: David Peterson , HBOs Game of Thrones

    Talk Title: Artificial vs Authentic:The Art of Language Invention

    Series: Artificial Intelligence Seminar

    Abstract: TBA

    Biography: TBA

    Host: Ashish Vaswani

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm 1135 Marina Del Rey

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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  • Repeating EventShort Course: Six Sigma Green Belt for Process Improvement

    Wed, May 20, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis. This program is offered both in the classroom and online.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Repeating EventShort Course: Six Sigma Green Belt for Process Improvement

    Thu, May 21, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: This program, an introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis. This program is offered both in the classroom and online.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Repeating EventShort Course: Lean Green Belt

    Wed, May 27, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Learn how to map the process flow and identify the activities that add value from the customer's perspective. You will learn how to structure your organization to support and continuously improve a lean process. Individuals who successfully pass the Institute of Industrial Engineering's Lean Green Belt Exam will be awarded the Lean Green Belt.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Repeating EventShort Course: Lean Green Belt

    Thu, May 28, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Learn how to map the process flow and identify the activities that add value from the customer's perspective. You will learn how to structure your organization to support and continuously improve a lean process. Individuals who successfully pass the Institute of Industrial Engineering's Lean Green Belt Exam will be awarded the Lean Green Belt.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Repeating EventShort Course: Lean Green Belt

    Fri, May 29, 2015

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Learn how to map the process flow and identify the activities that add value from the customer's perspective. You will learn how to structure your organization to support and continuously improve a lean process. Individuals who successfully pass the Institute of Industrial Engineering's Lean Green Belt Exam will be awarded the Lean Green Belt.

    Register Now!

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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